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Remote Unpaid Computer Science Internship Jobs in Massachusetts

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Currently pursuing a degree in statistics, computer science, data science, machine learning ...

the

Fall 2026 Training & Compliance Internship

Boston, MA · On-site +1

$43K - $52K/yr

All internships are unpaid and correspond roughly with the US School (education) semester system ... Please note that this internship will be a remote format, meaning that all hours are conducted ...

Sony

$50/hr

... Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $50.00 per ...

Sony

$50/hr

... Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $50.00 per ...

Sony

$50/hr

... Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $50.00 per ...

Sony

$50/hr

... Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $50.00 per ...

Sony

$50/hr

... Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $50.00 per ...

Sony

$50/hr

... Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $50.00 per ...

Sony

$50/hr

... Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship is $50.00 per ...

Workiva

$40/hr

A solid foundation in computer science, with competencies in data structures, algorithms, and ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Remote Unpaid Computer Science Internship information

What is a remote unpaid computer science internship?

A remote unpaid computer science internship is a temporary position where students or recent graduates work from home or any location outside the employer’s office, gaining hands-on experience in computer science without financial compensation. These internships typically involve tasks like coding, software testing, research, or assisting with IT projects, all completed using online communication and collaboration tools. The goal is to help interns develop practical skills, build their resume, and network with professionals in the field, even though they do not receive a salary or stipend.

What skills and qualifications are needed for a remote unpaid computer science internship?

To thrive as a Remote Unpaid Computer Science Intern, you generally need foundational programming knowledge, familiarity with algorithms, and coursework or experience in computer science fundamentals. Proficiency with version control systems like Git, basic project management tools (e.g., Trello, Slack), and sometimes exposure to specific languages or frameworks is expected. Strong self-motivation, communication, and time management skills help interns excel in a remote environment. These abilities are crucial for learning effectively, collaborating with teams, and making a meaningful contribution despite the remote and unpaid nature of the role.

What are common challenges during a remote unpaid computer science internship, and how can they be addressed?

Remote unpaid computer science internships often come with challenges such as limited supervision, difficulty in staying motivated, and fewer opportunities for spontaneous collaboration with team members. To address these issues, it's important to proactively communicate with your supervisor, set clear daily or weekly goals, and participate in virtual meetings or group chats to stay connected. Taking initiative to seek feedback and engage with the team can help you maximize learning and demonstrate your commitment, which may open doors to future opportunities.

What are popular job titles related to Remote Unpaid Computer Science Internship jobs in Massachusetts?

For Remote Unpaid Computer Science Internship jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Unpaid Computer Science Internship jobs in Massachusetts look for?

The top searched job categories for Remote Unpaid Computer Science Internship jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Unpaid Computer Science Internship jobs?

Cities in Massachusetts with the most Remote Unpaid Computer Science Internship job openings:

Remote Unpaid Computer Science Internship jobs near you

Data Science Intern

FocusKPI Inc.

Boston, MA • On-site, Remote

Full-time

Posted 6 days ago

Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote | Internship | Full-time | 3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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